Carbon dioxide (CO2) generates the largest share of greenhouse emissions in the world. CO2 is released during industrial processes and fossil fuel combustions to retrieve energy, or from direct human-induced impacts on forestry and other land use. Emissions have been increasing in the atmosphere at an alarming rate, impacting our environments and overall quality of life. And recent studies have revealed that the happiest countries are those prioritizing well-being and environmental sustainability. To explore this finding, our group is interested in understanding the association between CO2 emissions per capita and happiness scores by country. We are using a data sets from The World Happiness Report and CO2 and Greenhouse Gas Emissions by Our World Data.
| Rounded Happiness Score | Mean CO2 per Capita | Minimum CO2 per Capita | Maximum CO2 per Capita |
|---|---|---|---|
| 3 | 4.0e-07 | 0.0e+00 | 1.70e-06 |
| 4 | 1.1e-06 | 1.0e-07 | 5.30e-06 |
| 5 | 3.5e-06 | 0.0e+00 | 8.90e-06 |
| 6 | 7.0e-06 | 9.0e-07 | 3.80e-05 |
| 7 | 9.7e-06 | 1.6e-06 | 2.13e-05 |
| 8 | 7.6e-06 | 6.1e-06 | 8.50e-06 |
This table narrows down the comparison between a country’s happiness score and their CO2 emissions. I have combined countries into groups, bases on their happiness score rounded to the closest whole number. I organized this chart in this way to show the correlation between happiness and CO2 emissions.
In the table above you will see that mean CO2 emissions per capita increases as the happiness score increases, but this excludes the highest (whole number) happiness score of 8. The average CO2 emissions per capita for countries in the group with a score of 8 actually decreases. This could suggest that CO2 emissions increase happiness only to a certain point. In the table we also see that the country with the lowest CO2 emissions per capita ranked fairly high in the happiness score with a high score of 5. The country with the highest CO2 emissions per capita was not far off with a score of 4. This suggests that there are other factors to consider in comparing CO2 emissions to happiness then what is shown in this table.
### What the chart attempts to express: Is there a relationship between country life expectancy and CO2 emissions per capita? Do countries with the lower life expectancy also have the lowest CO2 emissions?
We chose a pi chart to answer this question because it allows us to see the approximate differences in data for a small set of variables (top 5 countries with the smallest CO2 emissions per capita).
We used a pie chart to effectively display proportional data on CO2 emission per capita, between the select small group of countries with lowest life expectancy. This pie chart suggests a positive relationship between country life expectancy and CO2 emission per capita. Given that, we conclude that countries with lowest life expectancy also emit lowest amount of CO2 per capita.
This chart displays the happiness score for each of the five countries with the lowest CO2 per capita.
What are the happiness scores of the 5 countries with the lowest CO2 per capita in 2018?
We chose a bar chart to answer this question because bar charts easily allow viewers to see the happiness score of each of the 5 countries and how the happiness score of these countries compare to the others selected. The chart is interactive so the score can be viewed when a bar is selected.
The happiness scores for the 5 countries with the lowest CO2 per Capita are 2.9 (Burundi), 3 (Central African Republic), 4.3 (Chad), 3.6 (Malawi), and 5 (Somalia). This is interesting because the happiness scores of these countries are in the bottom and middle of the range of happiness scores, thus the top five lowest CO2 per Capita countries are not countries with the highest happiness scores.
What relationship does the happiness score and CO2 per capita by country in 2018 have? Are countries with higher CO2 per capita happier or less happy?
We chose a scatter plot because scatter plots display the relation between 2 variables. The individual points on the scatter plot allow the viewer to see the happiness score and CO2 per capita for each country. The smoothing line is also important for answering our question because it depicts the overall scatter plot trend based on the individual points so that the relation between these variables is clearly depicted. The scatter plot is interactive so the happiness score and CO2 per capita can be viewed when a point is selected.
The scatter plot suggests a positive relationship between CO2 per capita and happiness score by country. Thus, in general, countries with higher happiness scores also have higher co2 per capita emissions.